Automating Excel with Python

Automating Excel with Python allows users to manipulate spreadsheets programmatically, making data processing more efficient. This lesson will cover the basics of automating Excel using the `openpyxl` and `pandas` libraries.

To get started, you need to install the required libraries:

pip install openpyxl pandas

3.1 Creating an Excel File

import pandas as pd

# Create a DataFrame
data = {'Name': ['Alice', 'Bob', 'Charlie'],
        'Age': [25, 30, 35]}

df = pd.DataFrame(data)

# Save to Excel
df.to_excel('output.xlsx', index=False)
            

3.2 Reading from an Excel File

import pandas as pd

# Read the Excel file
df = pd.read_excel('output.xlsx')

print(df)
            

4.1 Writing to Specific Cells

from openpyxl import Workbook

# Create a workbook and add a worksheet
wb = Workbook()
ws = wb.active

# Write to specific cells
ws['A1'] = 'Name'
ws['B1'] = 'Age'
ws['A2'] = 'Alice'
ws['B2'] = 25

# Save the workbook
wb.save('output_advanced.xlsx')
            

4.2 Adding Formulas

# Adding a formula to a cell
ws['C1'] = 'Age in 5 Years'
ws['C2'] = '=B2 + 5'
            

• Use descriptive variable names for clarity.
• Close the Excel file after processing to avoid corruption.
• Use version control for scripts to track changes.
• Document your code with comments for future reference.